Who Leads, What Matters? Machine Learning and the Complexity of University Performance. [PDF]
Ballestar MT +4 more
europepmc +1 more source
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
Truss structure optimization via hierarchical tree search. [PDF]
Sedighzadeh A, Torzoni M, Corigliano A.
europepmc +1 more source
Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali +15 more
wiley +1 more source
Class-adaptive oracle-free metamorphic test case prioritization framework for vision-based deep neural networks. [PDF]
Li J, Mohamad R, Ahmad J.
europepmc +1 more source
A Landscape Overview of Integrated Data Systems Funding and Staffing Models Across the U.S. [PDF]
Nelson AH +5 more
europepmc +1 more source
Healthcare financing in Morocco on the path towards universal health coverage: a protocol for a scoping review. [PDF]
Hajji O, El Abbadi B.
europepmc +1 more source
Early detection of construction project risks in Saudi Arabia: a mixed-methods study on warning signs and mitigation. [PDF]
Alsulami BT, Al-Shaery AM, Kassem MA.
europepmc +1 more source
Good clinical trial funding practices: how can public funders reduce the risk of trial failure and improve health impact? [PDF]
Hulstaert F +8 more
europepmc +1 more source

